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The temperature of the burning zone in the acquisition process is not stable and has an important impact on the quality of pellet. In order to improve the burning zone temperature stability, zone of combustion temperature prediction model is proposed based on the improved BP neural network. According to the field data characteristics, using cluster analysis method for data processing in order to reduce...
In view of low precision and low auto-adapted ability in traditional desulphurization control model, according to the mechanism of hot metal desulphurization process, the RBF nerve network desulphurization agent quantum model based on rough set and genetic algorithm is introduced. This model uses rough set to clean modeling data, uses genetic algorithm to select RBF network structure, and then introduces...
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